Robust foreground extraction technique using background subtraction with multiple thresholds

HanSung Kim; Ryuuki Sakamoto; Itaru Kitahara; Tomoji Toriyama; Kiyoshi Kogure

doi:10.1117/1.2779022

1 September 2007 Robust foreground extraction technique using background subtraction with multiple thresholds

HanSung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomoji Toriyama, Kiyoshi Kogure

Author Affiliations +

Optical Engineering, Vol. 46, Issue 9, 097004 (September 2007). https://doi.org/10.1117/1.2779022

Abstract

We propose a robust method to extract silhouettes of foreground objects from color-video sequences. To cope with various changes in the background, we model the background as a Laplace distribution and update it with a selective running average and static pixel observation. All pixels in the input video image are classified into four initial regions using background subtraction with multiple thresholds. Shadow regions are eliminated using color components, and the final foreground silhouette is extracted by smoothing the boundaries of the foreground and eliminating errors inside and outside of the regions. Experimental results show that the proposed algorithm works very well in various background and foreground situations.

©(2007) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

HanSung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomoji Toriyama, and Kiyoshi Kogure "Robust foreground extraction technique using background subtraction with multiple thresholds," Optical Engineering 46(9), 097004 (1 September 2007). https://doi.org/10.1117/1.2779022

Published: 1 September 2007

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